D. Scott Lind

80 papers receiving 2.4k citations

Peers

D. Scott Lind
Comparison fields: 5 of 153
  • Human-Computer Interaction 302
  • Family Practice 62
  • Cancer Research 285
  • Biochemistry 130
  • Physiology 416
Replace Juan Cendán with:
Juan Cendán United States
Jessilyn Dunn United States
Dana K. Andersen United States
Andrew Chan Germany
John Jacobs United States
Andy Wai Kan Yeung Hong Kong
Evan D. Muse United States
Peter Weinstock United States
J. Michael Henderson United States
D. Scott Lind relative to Juan Cendán United States Juan Cendán's profile →
Citations per field
00.5×3.9×
Juan Cendán · 1×
Citations per year

Countries citing papers authored by D. Scott Lind

Since Specialization
Citations

This map shows the geographic impact of D. Scott Lind's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by D. Scott Lind with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Scott Lind more than expected).

Fields of papers citing papers by D. Scott Lind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Scott Lind. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by D. Scott Lind. The network helps show where D. Scott Lind may publish in the future.

Co-authors

The 25 scholars most cited alongside D. Scott Lind, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Scott Lind Line = papers co-authored together D. Scott Lind links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001232
2 2006158
3 2004146
4 2007123
5 2002113
6 200591
7 199687
8 200775
9 200673
10 200273
11 200769
12 200967
13 200664
14 200363
15 199846
16 199239
17 199438
18 199538
19 199636
20 200936

About D. Scott Lind

D. Scott Lind is a scholar working on Physiology, Human-Computer Interaction, Public Health, Environmental and Occupational Health, Surgery and Psychiatry and Mental health, having authored 83 papers that have together received 2.6k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (14 papers), Simulation-Based Education in Healthcare (11 papers), Empathy and Medical Education (11 papers), Innovations in Medical Education (11 papers), Breast Cancer Treatment Studies (6 papers), Surgical Simulation and Training (4 papers), Human-Automation Interaction and Safety (4 papers) and Amino Acid Enzymes and Metabolism (4 papers). The work is most often cited by research in Human-Computer Interaction (302 citations), Family Practice (62 citations), Cancer Research (285 citations), Biochemistry (130 citations) and Physiology (416 citations). D. Scott Lind has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Benjamin Lok, Edward M. Copeland, Juan Cendán, Andrew Raij, Kyle Johnsen, Amy Stevens, Robert Dickerson, Steven N. Hochwald, Lyle L. Moldawer and Sally L. D. MacKay. Their work appears in journals such as The American Journal of Surgery, Journal of Surgical Research, IEEE Transactions on Visualization and Computer Graphics, The American Surgeon and Journal of Surgical Oncology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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